code: def make_aux(classes, norm_layer, norm_kwargs):
      out = nn.HybridSequential(prefix="")
      out.add(nn.AvgPool2D(pool_size=5, strides=3))
      out.add(
          _make_basic_conv(
              channels=128,
              kernel_size=1,
              norm_layer=norm_layer,
              norm_kwargs=norm_kwargs,
          )
      )
      out.add(
          _make_basic_conv(
              channels=768,
              kernel_size=5,
              norm_layer=norm_layer,
              norm_kwargs=norm_kwargs,
          )
      )
      out.add(nn.Flatten())
      out.add(nn.Dense(classes))
      return out
  
file_path: gluon-cv/gluoncv/model_zoo/inception.py
imports: from mxnet.context import cpu
  from mxnet.gluon.block import HybridBlock
  from mxnet.gluon import nn
  from mxnet.gluon.nn import BatchNorm
  from mxnet.gluon.contrib.nn import HybridConcurrent
label_desc: Use image node_id 8 for calling a global function with example usage: make_aux(classes, norm_layer, norm_kwargs) and returns: out